Applied AI for Healthcare

Research-grade capability.
Startup-speed delivery.

Most AI companies can build models. Most healthtech consultancies can navigate healthcare. Blue Arrow does both. Our AI work is led by a team that has taken healthcare AI products from research to production, repeatedly.

1,200+

Published citations across computer vision, medical imaging, and clinical AI

15+

Years of applied AI research and production deployment

5,000+

Patients on platforms built with our clinical AI infrastructure

What we build

Healthcare AI that works in production, not just in notebooks.

Medical imaging diagnostic scan

Computer Vision & Medical Imaging

We build the infrastructure that takes imaging AI from prototype to clinical deployment. Our team has done this across diagnostic radiology, reproductive medicine, and clinical safety monitoring.

DICOM image transfer and storage pipelines
AI-enriched radiology workflows (detection, segmentation, classification)
Real-time video analytics for clinical environments
Model serving via ONNX, TensorFlow Serving, and edge deployment
Annotation pipelines and clinical data curation
Doctor reviewing clinical data on tablet

Clinical AI & Predictive Intelligence

Patient data systems, predictive analytics, and clinical decision support that integrates into real workflows. Not dashboards. Tools clinicians actually use.

FHIR/HL7 compliant data pipelines
Wearable and IoT device integration (CGM, vitals, remote monitoring)
Predictive risk scoring and patient stratification models
EMR/EHR integration and clinical workflow automation
MLOps infrastructure for continuous model monitoring
Regulatory documentation and compliance review

Regulation-Ready AI Engineering

Every AI product we build includes documentation, testing, and traceability aligned to regulatory expectations from sprint one. This is how we engineer, not a service we bolt on.

QMS documentation integrated into development workflow
Risk-based testing frameworks aligned to TGA and SaMD expectations
Software Bill of Materials (SBOM) and version traceability
Clinical validation and verification protocols
Audit-ready architecture documentation and decision records

Technical environment

DICOM / HL7 / FHIR
TensorFlow / PyTorch / ONNX
MLOps & Model Monitoring
Edge Deployment
Object Detection & Segmentation
Real-time Video Analytics
QMS & SaMD Documentation
Clinical Validation Frameworks

AI in production

Not prototypes. Products serving real patients and clinicians.

AI-Powered Diagnostic Imaging
MEDICAL IMAGING

AI-Powered Diagnostic Imaging

Built DICOM image transfer infrastructure connecting radiology labs, clinics, and hospitals with an AI platform. Full regulatory documentation and testing frameworks from architecture through to submission readiness.

AI-Powered Oocyte Quality Assessment
REPRODUCTIVE MEDICINE

AI-Powered Oocyte Quality Assessment

End-to-end AI framework for embryologists and reproductive medicine specialists. Non-invasive object detection and classification for personalised oocyte quality assessment. Taken from research to production.

Intelligent Patient Monitoring Platform
REMOTE MONITORING

Intelligent Patient Monitoring Platform

Native mobile applications with wearable integration, real-time vitals tracking, and clinician dashboards. Continuous data flows enabling proactive care interventions across 5,000+ patients.

Have an AI challenge in healthcare?

Book a call. We will figure out the right approach together.

Prefer to write first? hello@bluearrowconsulting.com.au